DISCOVER: Discovering Important Segments for Classification of Video Events and Recounting

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Video Representation Learning Using Discriminative Pooling (2018, background): “Chen and Nevatia [46] propose a latent variable based model to explicitly localize discriminative video segments where events take place.”
Semantic Pooling for Complex Event Analysis in Untrimmed Videos (2016, background): “In the first regard, [28] introduced student-t mixtures to improve the Fisher vector encoding in [29] (that is based on Gaussian mixtures); [7] divided each video (probabilistically) into the composition of several scenes and performed average pooling over the separate classifiers for different scen”
DevNet: A Deep Event Network for multimedia event detection and evidence recounting (2015, methodology): “Then the evaluators were presented the temporal key evidences (key frames) generated by [35] and DevNet with fixed recounting percentage (5%) and the spatial key evidences generated by [48] and DevNet.”